Volume 32 Issue 5
Sep.  2023
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WU Xiaochun and WEN Xin, “Research on Health Stage Division of Switch Machine Based on Bray-Curtis Distance and Fisher Optimal Segmentation Method,” Chinese Journal of Electronics, vol. 32, no. 5, pp. 955-962, 2023, doi: 10.23919/cje.2022.00.250
Citation: WU Xiaochun and WEN Xin, “Research on Health Stage Division of Switch Machine Based on Bray-Curtis Distance and Fisher Optimal Segmentation Method,” Chinese Journal of Electronics, vol. 32, no. 5, pp. 955-962, 2023, doi: 10.23919/cje.2022.00.250

Research on Health Stage Division of Switch Machine Based on Bray-Curtis Distance and Fisher Optimal Segmentation Method

doi: 10.23919/cje.2022.00.250
Funds:  This work was supported by the Project Fund of China National Railway Group Co., Ltd. (N2022G012) and the Gansu Excellent Postgraduate Innovation Star Project (2022CXZX-615).
More Information
  • Author Bio:

    Xiaochun WU was born in 1973. She is an Professor of Lanzhou Jiaotong University, and Canadian UBC Visiting Scholar. Her main research interests focus on signal processing and train operation control. (Email: 369038806@qq.com)

    Xin WEN was born in 1998. She is currently pursuing the postgraduate in Lanzhou Jiaotong University, majored in traffic information engineering and control. Her research interests include the research and prediction of health status assessment of switch machine. (Email: 1793807303@qq.com)

  • Received Date: 2022-07-31
  • Accepted Date: 2022-11-16
  • Available Online: 2023-01-07
  • Publish Date: 2023-09-05
  • In order to reasonably and accurately evaluate the health status of the switch machine, a health stage division method of switch machine combining Bray-Curtis distance and Fisher optimal segmentation is proposed. First, the power curve of switch machine is divided into five sections, and eight time-domain characteristic parameters of each section are extracted. Second, the characteristic parameters with the largest correlation between fifteen dimensions and state of the switch machine are selected by using the Holder coefficient method as the input of Bray-Curtis distance algorithm, using Bray-Curtis distance to calculate health index (HI), which represents health state of switch machine. Finally, HI curve is divided by Fisher optimal segmentation method, and the optimal number of health stages of switch machine is determined to be three, and HI interval and threshold of each health stage are obtained. The effectiveness of this method is verified by 4382 sets of on-site switch machine data experiments. The experimental results show that the health index curve calculated by Bray-Curtis distance can accurately represent the health status of the switch machine. Compared with Frechet distance and European distance, this method has better performance in tendency, robustness, and runtime. Combining with Fisher optimal segmentation method, it can reasonably and effectively divide the health stage of the switch machine, providing some support for the on-site judgment of the health status of the switch machine.
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